Artificial Intelligence: Methodology, Systems, and Applications

1. Front Matter

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2. Ontology Engineering

   1. Adoption of the Classical Theory of Definition to Ontology Modeling

      • Patryk Burek

      Pages 1-10

   2. An Approach to Evaluate Existing Ontologies for Indexing a Document Corpus

      • Nathalie Hernandez, Josiane Mothe

      Pages 11-21

   3. Capturing Semantics Towards Automatic Coordination of Domain Ontologies

      • Konstantinos Kotis, George A. Vouros, Kostas Stergiou

      Pages 22-32

   4. Towards a Semantic Representation of Documents by Ontology-Document Mapping

      • Mustapha Baziz

      Pages 33-43

   5. Using an Aligned Ontology to Process User Queries

      • Kleber Xavier Sampaio de Souza, Joseph Davis

      Pages 44-53

3. SemanticWeb Services

   1. An Experiment on Modelling Agents and Knowledge for the Semantic Web

      • Alvaro E. Arenas, Brian M. Matthews

      Pages 54-64

   2. Automatic Creation and Monitoring of Semantic Metadata in a Dynamic Knowledge Portal

      • Diana Maynard, Milena Yankova, Niraj Aswani, Hamish Cunningham

      Pages 65-74

   3. Coordinating Semantic Peers

      • P. Bouquet, L. Serafini, S. Zanobini

      Pages 75-84

   4. Identification of Communities of Peers by Trust and Reputation

      • Alessandro Agostini, Gianluca Moro

      Pages 85-95

   5. Integration of B2B Logistics Using Semantic Web Services

      • Javier Esplugas Cuadrado, Chris Preist, Stuart Williams

      Pages 96-105

   6. Planning and Monitoring Web Service Composition

      • M. Pistore, F. Barbon, P. Bertoli, D. Shaparau, P. Traverso

      Pages 106-115

4. Knowledge Presentation and Processing

   1. A Logic of Inequalities

      • Nikolai G. Nikolov

      Pages 116-125

   2. Exploiting the Constrainedness in Constraint Satisfaction Problems

      • Miguel A. Salido, Federico Barber

      Pages 126-136

   3. Orthogonal Operators for User-Defined Symbolic Periodicities

      • Lavinia Egidi, Paolo Terenziani

      Pages 137-147

   4. Solving Constraints Between Lines in Euclidean Geometry

      • Philippe Balbiani, Khalil Challita

      Pages 148-157

5. Machine Learning and Data Mining

   1. An Oracle Based Meta-learner for Function Decomposition

      • R. Syama Sundar Yadav, Deepak Khemani

      Pages 158-167

   2. Bagged Voting Ensembles

      • S. B. Kotsiantis, P. E. Pintelas

      Pages 168-177

   3. Cluster Validation for High-Dimensional Datasets

      • Minho Kim, Hyunjin Yoo, R. S. Ramakrishna

      Pages 178-187

   4. Emergent behaviours based on episodic encoding and familiarity driven retrieval

      • Emilia I. Barakova

      Pages 188-197

The 11th Conference “Artificial Intelligence: Methodology, Systems, Applications – Semantic Web Challenges” (AIMSA 2004) continued successfully pursuing the main aim of the AIMSA series of conferences – to foster the multidisciplinary community of artificial intelligence researchers, embracing both the theoretic underpinnings of the field and the practical issues involved in development, deployment, and maintenance of systems with intelligent behavior. Since the first conference in 1984 AIMSA has provided an ideal forum for international scientific exchange between Central/Eastern Europe and the rest of the world and it is even more important nowadays in the uni- ing Europe. The current AIMSA edition is focused on Semantic Web methods and technologies. The Internet is changing the everyday services landscape, and the way we do things in almost every domain of our life. Web services are rapidly becoming the enabling technology of today's e-business and e-commerce systems, and will soon transform the Web as it is now into a distributed computation and application framework. The emerging Semantic Web paradigm promises to annotate Web artefacts to enable automated reasoning about them. When applied to e-services, the paradigm hopes to provide substantial automation for activities such as discovery, invocation, assembly, and monitoring of e-services. One hundred and seventy-six interesting papers were submitted to the conference.

• Artificial intelligence
• cognition
• data mining
• intelligence
• knowledge
• knowledge representation
• learning
• machine learning
• neural network
• ontology
• pattern recognition
• semantic web

• Cisco Systems, Inc, San Jose, USA

  Christoph Bussler

• DERI Innsbruck, University of Innsbruck, Austria

  Dieter Fensel

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